🚀 New Video Release! | Cricket Analytics Meets Machine Learning 🏏🤖

 As a lifelong cricket lover and a researcher in data analytics, I'm excited to share my latest work that digs deep into a long-held belief in T20 cricket — Do extra deliveries (wides & no-balls) really give a major advantage to the batting side?

Using data from 269 T20 matches across international & franchise formats (both men’s and women’s cricket), I applied multiple machine learning models and feature selection techniques to uncover the truth.
📊 Key Insight:
Despite what many experts say, the outcomes of extra deliveries are highly unpredictable — behaving more like random events than strategic advantages.
🔍 What the study reveals:
73% of extra deliveries have low or no positive impact
9 ML models could not reliably predict outcomes (<40% accuracy)
Only a few parameters (match stage, batsman strike rate, bowler runs conceded) showed weak influence
Expert intuition doesn’t always match data-driven reality
🎥 I have prepared a YouTube cover/thumbnail summarizing the findings visually.
Full video: https://lnkd.in/gYib62QY
Full Paper : https://lnkd.in/gWrcX9Xg
Always happy to connect with others who love cricket, analytics, or both! 🏏📈
hashtag#Cricket hashtag#T20Cricket hashtag#MachineLearning hashtag#SportsAnalytics hashtag#DataScience hashtag#Research hashtag#BigData hashtag#CricketLover hashtag#AzureML hashtag#OrangeDataMining hashtag#LinkedInResearch hashtag#DataDrivenInsights

 

Learn how to conduct a PRISMA-compliant Systematic Literature Review (SLR) using Zotero in this video https://lnkd.in/gBPGdqrC. Whether you're a researcher, academic, postgraduate student, or practitioner, this guide will walk you through the full PRISMA workflow — from database searching to exporting the PRISMA flow diagram.

In this video, you will learn how to:

✅ Set up your Zotero library for systematic reviews

✅ Import and organise research articles from multiple databases

✅ Remove duplicates using Zotero’s advanced tools

✅ Apply PRISMA-based screening (title, abstract, and full text)

✅ Use tags, notes, and metadata to track inclusion/exclusion

✅ Export data for

hashtag

#PRISMA documentation and reporting

✅ Generate and prepare a PRISMA 2020 flowchart

This tutorial is ideal for:

– Researchers conducting literature reviews

– Academics teaching research methods

– Anyone wanting a clean and efficient PRISMA workflow